The future of engineering and manufacturing is clearly becoming more reliant on the exploitation of digital technologies to reduce costs and to contain quality, while product complexity increases exponentially. Machine learning, big data and computational engineering are fast becoming required skill sets for today’s graduating engineer and seasoned professional alike. Computer programming is a fundamental part of these fields, and there is no better programming language to start with than Python — with its clear and clean syntax, emphasis on code readability and vast amount of reusable libraries.
Join us for this three-part series taking place July 27, August 2 and August 17. To participate, you will need a working installation of Python 3 on your computer prior to the start of the event (follow these setup instructions for Windows operating systems).
Thursday, July 27, 2017 | 12 p.m. EDT
Segment 1: Introduction to Python Syntax and Semantics
In the first webinar session, you will be introduced to the Python interpreter, syntax and constructs. Participants can follow along with a basic example of modeling a machine tool in Python.
Wednesday, August 2, 2017 | 12 p.m. EDT
Segment 2: Exploring and Using the Python Ecosystem
The second webinar in this series will introduce the “Python Package Index” and how it can be used to pull in powerful functionality to Python programs. An example Python program that performs some basic data analytics on some sample production data will be shared.
Thursday, August 17, 2017 | 12 p.m. EDT
Segment 3: Applied Python for Data Analytics and Machine Learning
The third and final installment of the webinar series will explain some basic principles of applying Python to several emerging problem types in advanced manufacturing. Participants will discover how to address some example data analytics and machine learning applications using Python.
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